BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae)

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BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae). / Naseem, Muhammad Tayyib; Ashfaq, Muhammad; Khan, Arif Muhammad; Rasool, Akhtar; Asif, Muhammad; Hebert, Paul D N.

I: PLoS ONE, Bind 14, Nr. 12, e0220426, 2019.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Naseem, MT, Ashfaq, M, Khan, AM, Rasool, A, Asif, M & Hebert, PDN 2019, 'BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae)', PLoS ONE, bind 14, nr. 12, e0220426. https://doi.org/10.1371/journal.pone.0220426

APA

Naseem, M. T., Ashfaq, M., Khan, A. M., Rasool, A., Asif, M., & Hebert, P. D. N. (2019). BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae). PLoS ONE, 14(12), [e0220426]. https://doi.org/10.1371/journal.pone.0220426

Vancouver

Naseem MT, Ashfaq M, Khan AM, Rasool A, Asif M, Hebert PDN. BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae). PLoS ONE. 2019;14(12). e0220426. https://doi.org/10.1371/journal.pone.0220426

Author

Naseem, Muhammad Tayyib ; Ashfaq, Muhammad ; Khan, Arif Muhammad ; Rasool, Akhtar ; Asif, Muhammad ; Hebert, Paul D N. / BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae). I: PLoS ONE. 2019 ; Bind 14, Nr. 12.

Bibtex

@article{3209315c169e462daaab5d2f0fc15526,
title = "BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae)",
abstract = "DNA barcoding is highly effective for identifying specimens once a reference sequence library is available for the species assemblage targeted for analysis. Despite the great need for an improved capacity to identify the insect pests of crops, the use of DNA barcoding is constrained by the lack of a well-parameterized reference library. The current study begins to address this limitation by developing a DNA barcode reference library for the pest aphids of Pakistan. It also examines the affinities of these species with conspecific populations from other geographic regions based on both conventional taxonomy and Barcode Index Numbers (BINs). A total of 809 aphids were collected from a range of plant species at sites across Pakistan. Morphological study and DNA barcoding allowed 774 specimens to be identified to one of 42 species while the others were placed to a genus or subfamily. Sequences obtained from these specimens were assigned to 52 BINs whose monophyly were supported by neighbor-joining (NJ) clustering and Bayesian inference. The 42 species were assigned to 41 BINs with 38 showing BIN concordance. These species were represented on BOLD by 7,870 records from 69 countries. Combining these records with those from Pakistan produced 60 BINs with 12 species showing a BIN split and three a BIN merger. Geo-distance correlations showed that intraspecific divergence values for 49% of the species were not affected by the distance between populations. Forty four of the 52 BINs from Pakistan had counterparts in 73 countries across six continents, documenting the broad distributions of pest aphids.",
keywords = "Faculty of Science, Aphids, Taxonomy, DNA Barcoding, Taxonomic",
author = "Naseem, {Muhammad Tayyib} and Muhammad Ashfaq and Khan, {Arif Muhammad} and Akhtar Rasool and Muhammad Asif and Hebert, {Paul D N}",
year = "2019",
doi = "10.1371/journal.pone.0220426",
language = "English",
volume = "14",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "12",

}

RIS

TY - JOUR

T1 - BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae)

AU - Naseem, Muhammad Tayyib

AU - Ashfaq, Muhammad

AU - Khan, Arif Muhammad

AU - Rasool, Akhtar

AU - Asif, Muhammad

AU - Hebert, Paul D N

PY - 2019

Y1 - 2019

N2 - DNA barcoding is highly effective for identifying specimens once a reference sequence library is available for the species assemblage targeted for analysis. Despite the great need for an improved capacity to identify the insect pests of crops, the use of DNA barcoding is constrained by the lack of a well-parameterized reference library. The current study begins to address this limitation by developing a DNA barcode reference library for the pest aphids of Pakistan. It also examines the affinities of these species with conspecific populations from other geographic regions based on both conventional taxonomy and Barcode Index Numbers (BINs). A total of 809 aphids were collected from a range of plant species at sites across Pakistan. Morphological study and DNA barcoding allowed 774 specimens to be identified to one of 42 species while the others were placed to a genus or subfamily. Sequences obtained from these specimens were assigned to 52 BINs whose monophyly were supported by neighbor-joining (NJ) clustering and Bayesian inference. The 42 species were assigned to 41 BINs with 38 showing BIN concordance. These species were represented on BOLD by 7,870 records from 69 countries. Combining these records with those from Pakistan produced 60 BINs with 12 species showing a BIN split and three a BIN merger. Geo-distance correlations showed that intraspecific divergence values for 49% of the species were not affected by the distance between populations. Forty four of the 52 BINs from Pakistan had counterparts in 73 countries across six continents, documenting the broad distributions of pest aphids.

AB - DNA barcoding is highly effective for identifying specimens once a reference sequence library is available for the species assemblage targeted for analysis. Despite the great need for an improved capacity to identify the insect pests of crops, the use of DNA barcoding is constrained by the lack of a well-parameterized reference library. The current study begins to address this limitation by developing a DNA barcode reference library for the pest aphids of Pakistan. It also examines the affinities of these species with conspecific populations from other geographic regions based on both conventional taxonomy and Barcode Index Numbers (BINs). A total of 809 aphids were collected from a range of plant species at sites across Pakistan. Morphological study and DNA barcoding allowed 774 specimens to be identified to one of 42 species while the others were placed to a genus or subfamily. Sequences obtained from these specimens were assigned to 52 BINs whose monophyly were supported by neighbor-joining (NJ) clustering and Bayesian inference. The 42 species were assigned to 41 BINs with 38 showing BIN concordance. These species were represented on BOLD by 7,870 records from 69 countries. Combining these records with those from Pakistan produced 60 BINs with 12 species showing a BIN split and three a BIN merger. Geo-distance correlations showed that intraspecific divergence values for 49% of the species were not affected by the distance between populations. Forty four of the 52 BINs from Pakistan had counterparts in 73 countries across six continents, documenting the broad distributions of pest aphids.

KW - Faculty of Science

KW - Aphids

KW - Taxonomy

KW - DNA Barcoding, Taxonomic

U2 - 10.1371/journal.pone.0220426

DO - 10.1371/journal.pone.0220426

M3 - Journal article

C2 - 31821347

VL - 14

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 12

M1 - e0220426

ER -

ID: 231819183